data engineer for finance data

Enfint; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work environment

Healthcare benefits

Bonus and performance incentives

Generous PTO and parental leave

Extra paid holidays

Job summary

MiQ ищет инженера данных для разработки и поддержки дата-склада и пайплайнов на Azure/AWS с использованием Databricks и PySpark. Ваша работа будет включать проектирование и развёртывание ETL, интеграцию с финансовыми системами и обеспечение качества данных.

Требуется опыт работы с SQL, моделированием данных и Hadoop. Вакансия предполагает гибридный формат работы, конкурентное вознаграждение и льготы.

Qualifications

• Опыт разработки и поддержки корпоративных дата-складов и ETL-конвееров.
• Опыт построения пайплайнов на Azure или AWS.
• Навыки PySpark, Databricks и глубокие знания SQL.
• Понимание моделирования данных и преобразований.
• Опыт работы с качеством данных и целостностью.
• Опыт работы с Hadoop (Hive/Spark) и системами CRM.
• Знание Git/Bitbucket и JIRA для релиз-менеджмента.
• Умение управлять ожиданиями стейкхолдеров и коммуникациями.

Responsibilities

• Разработка и сопровождение дата-склада и финансовых пайплайнов.
• Строительство автоматизированных, масштабируемых пайплайнов данных.
• Управление интеграциями и пайплайнами Finance.
• Обеспечение End-to-End потоков данных.
• Освоение новых инструментов и SaaS.
• Функционирование в роли SME по данным и их управлению.
• Соблюдение стандартов проектирования и методологий SDLC.

Skills

Data engineering

Data integration

SQL optimization

Problem solving

Stakeholder management

Communication

Tools

Azure

AWS

Databricks

PySpark

Hadoop (Hive/Spark)

Bitbucket/GitHub

JIRA

Workday Studio

Salesforce

Job description

Описание:

MiQ is a global programmatic media partner for marketers and agencies. It helps lead and improve the programmatic advertising industry through global teams and technology.

Задачи:

• Develop and maintain back-end data warehouse systems for products and applications;
• Build automated, scalable, and robust data pipelines across critical business systems to Finance data repositories;
• Manage Finance integrations and data pipelines;
• Manage end-to-end data flows;
• Learn and use new tools and SaaS systems;
• Act as a Tech SME in data engineering, data integration, and data management;
• Apply leading design standards and implementation methodologies.

Требования:

• Experience in data engineering and data integration;
• Experience building and managing data pipelines on Azure or AWS;
• Hands-on experience with Notebook PySpark coding, preferably on Databricks;
• Advanced SQL skills for developing and optimizing data pipelines;
• Understanding of data modeling and data transformation techniques;
• Knowledge of maintaining high data quality and integrity;
• Strong software development skills with Hadoop technologies such as Hive and Spark;
• Experience with Workday Studio and managing code within the Workday environment;
• Knowledge of SaaS applications such as Salesforce or other CRM systems;
• Knowledge of release management, incident management, and SDLC methodologies using Bitbucket/GitHub and JIRA;
• Understanding of infrastructure components such as clusters, nodes, compute, and storage;
• Proven problem-solving skills with the ability to anticipate roadblocks, diagnose problems, and generate effective solutions;
• Strong stakeholder management and communication skills;
• Nice to have: Experience with Databricks, Salesforce, and other CRM systems.

Условия:

• A hybrid work environment;
• New hire orientation with job-specific onboarding and training;
• Internal and global mobility opportunities;
• Competitive healthcare benefits;
• Bonus and performance incentives;
• Generous annual PTO and paid parental leave;
• Two additional paid days for holidays, cultural events, or inclusion initiatives;
• Employee resource groups across all MiQ regions.